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Univariate Tests for Time Series Models Jeffrey B. Cromwell

Univariate Tests for Time Series Models By Jeffrey B. Cromwell

Univariate Tests for Time Series Models by Jeffrey B. Cromwell


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Univariate Tests for Time Series Models Summary

Univariate Tests for Time Series Models by Jeffrey B. Cromwell

Taking a sequential approach to time-series model building, this book explores how to test for stationarity, normality, independence, linearity, model order, and properties of the residual process. The authors clearly define each testing procedure and offer examples to illustrate each concept. The authors also provide advice on how to perform the tests using different software packages. This provides a nice roadmap for those doing time series analysis, and the authors should be applauded for this... Their approach is straightforward and logical and I believe will be useful many practicing statisticians. --Technometrics

About Jeffrey B. Cromwell

Dr. Jeff B. Cromwell is a graduate of West Virginia University with research interests in computational statistics, econometrics and time series analysis. Michel Terraza is a science Professor of economics at Montpellier I University. He applied this decomposed measure when studying the wages inequalities in the Languedoc-Roussillon region (see the bibliography). He did it in collaboration with Francoise Seyte (Associate Professor) and Stephane Mussard (Assistant Professor).

Table of Contents

Introduction Testing for Stationarity Testing for Normality Testing for Independence Testing for Linear or Nonlinear Dependence Linear Model Specification Nonlinear Model Specification Testing for Model Order Testing for Residual Process Computational Methods for Performing the Tests

Additional information

NLS9780803949911
9780803949911
080394991X
Univariate Tests for Time Series Models by Jeffrey B. Cromwell
New
Paperback
SAGE Publications Inc
1994-02-22
104
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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